Graph Learning with Localized Neighborhood Fairness

Learning fair graph representations for downstream applications is becoming increasingly important, but existing work has mostly focused on improving fairness at the global level by either modifying the graph structure or objective function without taking into account the local neighborhood of a nod...

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Bibliographische Detailangaben

Hauptverfasser:	Chen, April, Rossi, Ryan, Lipka, Nedim, Hoffswell, Jane, Chan, Gromit, Guo, Shunan, Koh, Eunyee, Kim, Sungchul, Ahmed, Nesreen K
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Social and Information Networks
Online-Zugang:	Volltext bestellen
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